Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

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First 100 results (query limit)

Time (local)	Label
2014-12-02 09:21:41	ga_ls8c_ard_3-0-0_090087_2014-12-01_final
2014-12-05 09:52:33	ga_ls8c_ard_3-0-0_095087_2014-12-05_final
2014-12-21 09:52:31	ga_ls8c_ard_3-0-0_095087_2014-12-21_final
2015-01-06 09:52:26	ga_ls8c_ard_3-0-0_095087_2015-01-06_final
2015-01-08 09:40:05	ga_ls8c_ard_3-0-0_093087_2015-01-08_final
2015-01-10 09:27:43	ga_ls8c_ard_3-0-0_091087_2015-01-09_final
2015-01-15 09:46:14	ga_ls8c_ard_3-0-0_094087_2015-01-15_final
2015-01-17 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-01-17_final
2015-01-22 09:52:21	ga_ls8c_ard_3-0-0_095087_2015-01-22_final
2015-01-24 09:39:58	ga_ls8c_ard_3-0-0_093087_2015-01-24_final
2015-01-31 09:46:10	ga_ls8c_ard_3-0-0_094087_2015-01-31_final
2015-02-02 09:33:48	ga_ls8c_ard_3-0-0_092087_2015-02-02_final
2015-02-07 09:52:18	ga_ls8c_ard_3-0-0_095087_2015-02-07_final
2015-02-09 09:39:55	ga_ls8c_ard_3-0-0_093087_2015-02-09_final
2015-02-23 09:52:12	ga_ls8c_ard_3-0-0_095087_2015-02-23_final
2015-02-25 09:39:50	ga_ls8c_ard_3-0-0_093087_2015-02-25_final
2015-03-18 09:58:09	ga_ls8c_ard_3-0-0_096087_2015-03-18_final
2015-03-20 09:45:47	ga_ls8c_ard_3-0-0_094087_2015-03-20_final
2015-03-22 09:33:24	ga_ls8c_ard_3-0-0_092087_2015-03-22_final
2015-04-05 09:45:35	ga_ls8c_ard_3-0-0_094087_2015-04-05_final
2015-04-07 09:33:13	ga_ls8c_ard_3-0-0_092087_2015-04-07_final
2015-04-12 09:51:46	ga_ls8c_ard_3-0-0_095087_2015-04-12_final
2015-04-14 09:39:25	ga_ls8c_ard_3-0-0_093087_2015-04-14_final
2015-05-02 09:26:53	ga_ls8c_ard_3-0-0_091087_2015-05-01_final
2015-05-04 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-05-03_final
2015-05-07 09:45:19	ga_ls8c_ard_3-0-0_094087_2015-05-07_final
2015-05-09 09:32:56	ga_ls8c_ard_3-0-0_092087_2015-05-09_final
2015-05-11 09:20:33	ga_ls8c_ard_3-0-0_090087_2015-05-10_final
2015-06-03 09:26:49	ga_ls8c_ard_3-0-0_091087_2015-06-02_final
2015-06-19 09:26:35	ga_ls8c_ard_3-0-0_091086_2015-06-18_final
2015-06-19 09:26:59	ga_ls8c_ard_3-0-0_091087_2015-06-18_final
2015-06-28 09:20:51	ga_ls8c_ard_3-0-0_090087_2015-06-27_final
2015-07-14 09:21:02	ga_ls8c_ard_3-0-0_090087_2015-07-13_final
2015-07-15 10:03:54	ga_ls8c_ard_3-0-0_097086_2015-07-15_final
2015-07-21 09:27:15	ga_ls8c_ard_3-0-0_091087_2015-07-20_final
2015-08-06 09:26:53	ga_ls8c_ard_3-0-0_091086_2015-08-05_final
2015-08-06 09:27:17	ga_ls8c_ard_3-0-0_091087_2015-08-05_final
2015-08-08 09:14:57	ga_ls8c_ard_3-0-0_089087_2015-08-07_final
2015-08-09 09:58:13	ga_ls8c_ard_3-0-0_096087_2015-08-09_final
2015-08-15 09:21:12	ga_ls8c_ard_3-0-0_090087_2015-08-14_final
2015-08-22 09:27:02	ga_ls8c_ard_3-0-0_091086_2015-08-21_final
2015-08-22 09:27:26	ga_ls8c_ard_3-0-0_091087_2015-08-21_final
2015-08-24 09:14:41	ga_ls8c_ard_3-0-0_089086_2015-08-23_final
2015-08-24 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-08-23_final
2015-08-25 09:58:21	ga_ls8c_ard_3-0-0_096087_2015-08-25_final
2015-08-31 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-08-30_final
2015-09-03 09:52:12	ga_ls8c_ard_3-0-0_095087_2015-09-03_final
2015-09-05 09:39:52	ga_ls8c_ard_3-0-0_093087_2015-09-05_final
2015-09-07 09:27:31	ga_ls8c_ard_3-0-0_091087_2015-09-06_final
2015-09-14 09:33:46	ga_ls8c_ard_3-0-0_092087_2015-09-14_final
2015-09-16 09:21:26	ga_ls8c_ard_3-0-0_090087_2015-09-15_final
2015-09-30 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-09-30_final
2015-10-02 09:21:30	ga_ls8c_ard_3-0-0_090087_2015-10-01_final
2015-10-05 09:52:25	ga_ls8c_ard_3-0-0_095087_2015-10-05_final
2015-10-07 09:40:03	ga_ls8c_ard_3-0-0_093087_2015-10-07_final
2015-10-16 09:33:51	ga_ls8c_ard_3-0-0_092087_2015-10-16_final
2015-10-18 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-10-17_final
2015-10-27 09:15:24	ga_ls8c_ard_3-0-0_089087_2015-10-26_final
2015-10-28 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-10-28_final
2015-10-30 09:46:19	ga_ls8c_ard_3-0-0_094087_2015-10-30_final
2015-11-06 09:52:30	ga_ls8c_ard_3-0-0_095087_2015-11-06_final
2015-11-08 09:40:09	ga_ls8c_ard_3-0-0_093087_2015-11-08_final
2015-11-10 09:27:47	ga_ls8c_ard_3-0-0_091087_2015-11-09_final
2015-11-17 09:33:58	ga_ls8c_ard_3-0-0_092087_2015-11-17_final
2015-11-19 09:21:37	ga_ls8c_ard_3-0-0_090087_2015-11-18_final
2015-11-22 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-11-22_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-28 09:15:28	ga_ls8c_ard_3-0-0_089087_2015-11-27_final
2015-12-05 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-04_final
2015-12-08 09:52:31	ga_ls8c_ard_3-0-0_095087_2015-12-08_final
2015-12-10 09:40:08	ga_ls8c_ard_3-0-0_093087_2015-12-10_final
2015-12-12 09:27:47	ga_ls8c_ard_3-0-0_091087_2015-12-11_final
2015-12-14 09:15:26	ga_ls8c_ard_3-0-0_089087_2015-12-13_final
2015-12-15 09:58:42	ga_ls8c_ard_3-0-0_096087_2015-12-15_final
2015-12-21 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-20_final
2015-12-24 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-12-24_final
2015-12-26 09:40:10	ga_ls8c_ard_3-0-0_093087_2015-12-26_final
2018-09-22 09:33:30	ga_ls8c_ard_3-0-0_092087_2018-09-22_final
2018-09-24 09:21:10	ga_ls8c_ard_3-0-0_090087_2018-09-23_final
2018-11-25 09:33:47	ga_ls8c_ard_3-0-0_092087_2018-11-25_final
2018-11-27 09:21:25	ga_ls8c_ard_3-0-0_090087_2018-11-26_final
2018-12-07 09:58:28	ga_ls8c_ard_3-0-0_096087_2018-12-07_final
2018-12-09 09:46:06	ga_ls8c_ard_3-0-0_094087_2018-12-09_final
2019-01-08 09:58:26	ga_ls8c_ard_3-0-0_096087_2019-01-08_final
2019-01-10 09:46:04	ga_ls8c_ard_3-0-0_094087_2019-01-10_final
2019-01-30 09:21:16	ga_ls8c_ard_3-0-0_090087_2019-01-29_final
2019-02-02 09:52:09	ga_ls8c_ard_3-0-0_095087_2019-02-02_final
2019-04-27 09:27:04	ga_ls8c_ard_3-0-0_091087_2019-04-26_final
2019-05-29 09:27:22	ga_ls8c_ard_3-0-0_091087_2019-05-28_final
2019-11-07 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-11-06_final
2019-11-23 09:15:38	ga_ls8c_ard_3-1-0_089087_2019-11-22_final
2019-12-12 09:46:31	ga_ls8c_ard_3-1-0_094087_2019-12-12_final
2019-12-14 09:34:09	ga_ls8c_ard_3-2-0_092087_2019-12-14_final
2019-12-16 09:21:47	ga_ls8c_ard_3-2-0_090087_2019-12-15_final
2019-12-19 09:52:40	ga_ls8c_ard_3-2-0_095087_2019-12-19_final
2019-12-23 09:27:56	ga_ls8c_ard_3-1-0_091087_2019-12-22_final
2019-12-25 09:15:34	ga_ls8c_ard_3-1-0_089087_2019-12-24_final
2019-12-26 09:58:49	ga_ls8c_ard_3-1-0_096087_2019-12-26_final
2020-01-10 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-01-09_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years